STUDY ON PHOTOVOLTAIC MPPT UNDER LOCAL SHADE BASED ON IMPROVED SLIME MOLD ALGORITHM

Li Hongyan; Wang Lei; An Pingjuan; Yang Chaoxu; Zhao Tianyue; Liu Bao

doi:10.19912/j.0254-0096.tynxb.2022-0810

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (10) : 129-134. DOI: 10.19912/j.0254-0096.tynxb.2022-0810

STUDY ON PHOTOVOLTAIC MPPT UNDER LOCAL SHADE BASED ON IMPROVED SLIME MOLD ALGORITHM

Li Hongyan, Wang Lei, An Pingjuan, Yang Chaoxu, Zhao Tianyue, Liu Bao

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Abstract

In order to solve the problem that the traditional maximum power point tracking （MPPT） method is easy to fall into local optimality in the case of local shadow illumination of photovoltaic power generation system, a photovoltaic MPPT method of mixed mutant slime mold algorithm combined with arithmetic algorithm （CVSMAAOA） is proposed. This method introduces a chaotic mapping function to initialize slime mold individuals on the basis of slime mold algorithm （SMA）, so that the population distribution is more uniform, the gaussian variation is introduced to improve the probability of the algorithm jumping out of the local optimal solution, and the jump of the variation factor helps to accelerate the search process; and the addition and subtraction operators in the arithmetic algorithm （AOA） are introduced to achieve local high-precision exploration. Simulation experiments show that compared with SMA and AOA, the convergence speed of the proposed algorithm under uniform irradiation, static shadow and changing shadow has been significantly improved.

Key words

PV arrays / maximum power point tracking / Gaussian / slime mold algorithm / arithmetic optimization algorithms

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Li Hongyan, Wang Lei, An Pingjuan, Yang Chaoxu, Zhao Tianyue, Liu Bao. STUDY ON PHOTOVOLTAIC MPPT UNDER LOCAL SHADE BASED ON IMPROVED SLIME MOLD ALGORITHM[J]. Acta Energiae Solaris Sinica. 2023, 44(10): 129-134 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0810

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